National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

QRT-Imperial Fellowship in Quantitative Finance

Imperial College London
Greater London
1 month ago
Create job alert

Applications are invited for a QRT-Imperial Postdoctoral Fellowship in Quantitative Finance. This position is part of a cooperation between the Department of Mathematics at Imperial College London and the global asset manager (QRT).


This project will focus on developing and deploying new methods with potential practical applications in systematic trading. A particular direction of interest is the analysis of high-dimensional models. You will work in close collaboration with the industrial partner and will have the opportunity to engage with Imperial’s new , an interdisciplinary college-wide research hub.


Hold or be near completion of a PhD in Mathematics or Statistics
Research expertise in Quantitative Finance
Ability to carry out original, independent research and produce high-quality research papers
Ability to identify, develop and apply new concepts, techniques, and methods

Work on cutting-edge research at the interface of theory and practice
Build your research profile in a vibrant ecosystem for Quantitative Finance
Leverage ample research funding to showcase your work at key international conferences

Related Jobs

View all jobs

Research Associate: Cell Line Development

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Jobs Skills Radar 2026: Emerging Tools, Languages & Platforms to Learn Now

The UK’s data science job market is evolving fast—from forecasting models and AI assistants to real-time decision systems. In 2026, data scientists aren’t just expected to build models—they’re responsible for shaping insights that fuel everything from patient care to predictive banking. Welcome to the Data Science Jobs Skills Radar 2026—your essential annual guide to the languages, tools, and platforms driving demand across the UK. Whether you’re entering the job market or reskilling mid-career, this roadmap helps you prioritise the skills that matter most right now.

How to Find Hidden Data Science Jobs in the UK Using Professional Bodies like the RSS, BCS & More

The data science job market in the UK is thriving—but also increasingly competitive. As organisations in finance, healthcare, retail, government, and tech accelerate digital transformation, the demand for data talent has soared. Yet many of the best data science jobs are never posted publicly. They’re shared behind closed doors—within professional networks, at invite-only events, or through member-only mailing lists and specialist interest groups. These “hidden” roles are often filled through referrals, collaborations, or direct outreach to trusted experts. In this guide, we’ll show you how to unlock these hidden opportunities by engaging with key UK professional bodies such as the Royal Statistical Society (RSS), BCS (The Chartered Institute for IT), and Turing Society, plus communities like PyData and AI UK. You’ll learn how to use directories, CPD events, and networks to move beyond job boards—and into roles where you’re approached, not just applying.

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.